I am broadly interested in Natural Language Processing (NLP) and Machine Learning (ML).
In particular, I am interested in understanding what makes models work, how they work, and why.
These days I am focusing on the data such models are trained on.
Moreover, I'm interested in Causal Inference (CI) and integrating ideas from CI into NLP.
I'm happy to talk about research in general, and my own work in particular.
If you have any questions about one of my papers, or my overall research, feel free to reach out!
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT
Benjamin Muller, Yanai Elazar, Benoît Sagot and Djamé Seddah
EACL 2021 papershortcode
*Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg
TACL 2021
(*) previous version that appeared on arxiv was named: "When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions",
which we changed to the current title to better reflect our contributions. paperjournalcodeslidesvideo
2020
It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT
Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg
Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, at EMNLP 2020 paperlongcodeposter
The Extraordinary Failure of Complement Coercion Crowdsourcing
Yanai Elazar, Victoria Basmov, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty
Workshop on Insights from Negative Results in NLP, EMNLP 2020 papershortslidesvideo
Do Language Embeddings Capture Scales?
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Findings of EMNLP 2020 paperlongcode
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
*Shauli Ravfogel, *Yanai Elazar, Jacob Goldberger, Yoav Goldberg
Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, at EMNLP 2020 paperlongcodeslides
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Evaluating Models' Local Decision Boundaries via Contrast Sets
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
Findings of EMNLP 2020 paperlongresource
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant
TACL 2020 (presented at EMNLP 2020) paperjournalcodevideo
2019
Adversarial Removal of Demographic Attributes Revisited
Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard
EMNLP 2019 papershort
How Large Are Lions? Inducing Distributions over Quantitative Attributes
